At DOCPACE, we like you to imagine flight status updates but for doctors' appointments. We use machine learning and automation to predict delays before they happen so doctors can notify patients ahead of time if their appointment will start on time or delayed. Healthcare staff can automatically text patients a link to enter a virtual waiting room. The link shows patients when they're expected to be seen and allows them to check-in from the parking lot when they have arrived. Our Virtual Waiting Room experience combined with the machine learning aspect of our technology helps providers make more informed scheduling decisions, leading to increased billable hours.

DOCPACE increases Provider’s billable hours and keeps waiting rooms empty. It's the virtual waiting room and patient capacity management tool every Healthcare Provider needs. 1. Automatically update patients on exam room status 2. Allow patients to wait remotely until the exam room is available 3. Receive schedule recommendations based on data analytics to eliminate bottlenecks from ever happening

Jvion helps healthcare systems and providers prevent harm and lower costs through its AI-enabled prescriptive analytics solution. An industry first, the Jvion Machine™ goes beyond simple predictive analytics and machine learning to identify patients on a trajectory to becoming high risk and for whom intervention will likely be successful. Jvion determines the interventions that will more effectively reduce risk and enable clinical action. And it accelerates time to value by leveraging established patient-level intelligence to drive engagement across hospitals, populations, and patients.

Preventable harm is preventable. Jvion helps healthcare systems prevent patient harm and associated costs by enabling clinical staff to focus attention, resources, and individualized interventions on patients whose outcomes can be improved. Unlike traditional AI and predictive analytic solutions that merely identify high-risk patients and cause alarm fatigue, Jvion pinpoints the impactable patients who are on a risk trajectory that can be changed and provides the patient-specific recommendations that will drive to a better outcome. The Jvion Machine™ is a combination of Eigen-based mathematics, dataset of more than 16 million patients, and software that can be quickly applied to any of 50 preventable harm vectors (such as sepsis, readmissions, falls, avoidable ER visits, and pressure injuries) without the need to create new models or to have perfect data. As the leader in prescriptive analytics for preventable harm, Jvion has proven effective in clinical settings for nearly a decade, with hospitals reporting average reductions of 30% in preventable harm incidents and avoidable cost savings of $6.3 million a year.

Our platform aggregates data across systems, creating an unfair advantage around Big Data access. This allows us to “learn” and generate “smarter” analytics to optimize scheduling and eliminate inefficiencies. We have developed a method and technology to reduce our integration process from 6-months to under 5 days. Our rather large competitive advantage is that our technology is learning across systems so we are not system bound with our data collection. This allows us to become smarter than them.